Galp Energia SGPS has been granted a patent for a computer-implemented method that involves annotating images based on user-defined concepts. The process includes decomposing images into parts, classifying them, establishing relationships, and comparing these with a second image to apply the same annotations if similarities are found. GlobalData’s report on Galp Energia SGPS gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Galp Energia SGPS, was a key innovation area identified from patents. Galp Energia SGPS's grant share as of June 2024 was 25%. Grant share is based on the ratio of number of grants to total number of patents.
Image annotation using user-defined concepts and relationships
The patent US11989628B2 outlines a computer-implemented method for image annotation that leverages user input and advanced machine learning techniques. The process begins with receiving a user-annotated concept related to a specific image within a defined context. The method involves decomposing the image into parts, classifying these parts, and establishing relationships among them and with the context. These relationships, along with the user-annotated concept, are stored in a knowledge base. The system can then retrieve a second image associated with the same context, decompose and classify its parts, and determine relationships similarly. A comparison is made between the classifications and relationships of both images, and if they meet a predefined similarity threshold, the second image is annotated with the user-annotated concept.
Additionally, the patent describes various enhancements to the method, including the use of computer vision and machine learning for image decomposition and classification. It also mentions the potential for unsupervised machine learning to assist in partitioning images. The knowledge base can be utilized to train machine learning models for autonomous concept identification in images. User validation is incorporated to confirm whether the second image should receive the annotation. The context for the images can vary, including applications in fields such as geology and medical imaging. The patent also covers a computer program product and a system that implements these methods, emphasizing the integration of hardware processors and storage devices to facilitate the described functionalities.
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GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
